Urban developments in Brazil and Portugal
Bibliographic record
Abstract
USP globalization & urban policy in the periphery of capitalism Urban adjustment: world bank & IDB policies for cities A bridge to speculation or the art of rent in the staging of a global city Urban policy goals & territorial planning articulations & lessons from planning urban regions in Portugal Lisbon: metropolis & urbanised landscape The close relationship between tourism & privately governed territory A sustainable urban solution in Brazil? Enabling local development through Digital Cities: examples from Portugal Water-sensitive urban planning: a simulation approach for a coastal plain in Brazil Housing policy & urban development: the Brazilian experience Sound salad: The soundscapes of a Brazilian favela Geographic dimensions of the Brazilian metropolitan areas peripherisation process Socio-economic segregation & activity spaces in cities of the north-eastern part of Brazil Natal, an example Social housing design in southern Brazil & its implication for urban development Citizenship between urbanization & protecting cultural heritage From urban renewal to gentrification of leisure & consumption: spatial appropriation strategies in the central area of an Amazonian city The innovative & normative role of culture in urban development policies -- Questioning peripheries in urban spaces of Brazil & Portugal Evening/night-time leisure in Coimbra Centrality & symbolic order in Porto Alegre metropolitan region Tourism, trade & cocoa: politics & tourist space in Ilheus, Brazil Rock music & place as purpose in Brasilia Jesse Brazilian immigrant women in Lisbon, Portugal An interpretive visit to the Quartier Portugais in Montreal Index.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.005 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.004 | 0.001 |
| Open science | 0.000 | 0.003 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.007 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".